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In [[mathematics]], a [[linear map]] is a [[
By studying the linear maps between two modules one can gain insight into their structures. If the modules have additional structure, like [[
== Topologies of uniform convergence on arbitrary spaces of maps ==
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Throughout we assume the following:
<ol>
<li><math>T</math> is any non-empty set and <math>\mathcal{G}</math> is a non-empty collection of subsets of <math>T</math> [[Directed set|directed]] by subset inclusion (i.e. for any <math>G, H \in \mathcal{G}</math> there exists some <math>K \in \mathcal{G}</math> such that
<li><math>Y</math> is a [[topological vector space]] (not necessarily Hausdorff or locally convex)
<li><math>\mathcal{N}</math <li><math>
</ol>
=== Basic neighborhoods at the origin ===
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;Properties
<math>\mathcal{U}(G, N)</math> is an [[Absorbing set|absorbing]] subset of <math>F</math> if and only if for all <math>f \in F,</math> <math>N</math> absorbs <math>f(G)</math>.{{sfn|Narici|Beckenstein|2011|pp=371-423}}
;Algebraic relations
<ul>
<li>
<li>
<ul>
<li>
<li>
<li>For any
</ul>
</li>
<li><math>\mathcal{
<li>
<li>
<li>For any family <math>\mathcal{S}</math> of subsets of <math>T
</ul>
=== <math>\mathcal{G}</math>-topology ===
Then the family
Then the set {{math|{𝒰(''G'', ''N'') : ''G'' ∈ 𝒢, ''N'' ∈ 𝒩}}} forms a [[Neighbourhood system|neighborhood basis]]<ref>Note that each set <math>\mathcal{U}(G, N)</math> is a neighborhood of the origin for this topology, but it is not necessarily an ''open'' neighborhood of the origin.</ref> ▼
<math display="block">\{ \mathcal{U}(G, N) : G \in \mathcal{G}, N \in \mathcal{N} \}</math>
at the origin for a unique translation-invariant topology on <math>F,</math> where this topology is ''not'' necessarily a vector topology (i.e. it might not make <math>F</math> into a TVS). ▼
▲
This topology does not depend on the neighborhood basis {{math|𝒩}} that was chosen and it is known as the '''topology of uniform convergence on the sets in <math>\mathcal{G}</math>''' or as the '''<math>\mathcal{G}</math>-topology'''.{{sfn|Schaefer|Wolff|1999|pp=79-88}} ▼
▲at the origin for a unique translation-invariant topology on <math>F,</math> where this topology is
▲This topology does not depend on the neighborhood basis <math>\mathcal{
However, this name is frequently changed according to the types of sets that make up <math>\mathcal{G}</math> (e.g. the "topology of uniform convergence on compact sets" or the "topology of compact convergence", see the footnote for more details<ref>In practice, <math>\mathcal{G}</math> usually consists of a collection of sets with certain properties and this name is changed appropriately to reflect this set so that if, for instance, <math>\mathcal{G}</math> is the collection of compact subsets of <math>T</math> (and <math>T</math> is a topological space), then this topology is called the topology of uniform convergence on the compact subsets of <math>T.</math></ref>).
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{{Math theorem|name=Theorem{{sfn|Schaefer|Wolff|1999|pp=79-88}}{{sfn|Jarchow|1981|pp=43-55}}|math_statement=
The <math>\mathcal{G}</math>-topology on <math>F</math> is compatible with the vector space structure of <math>F</math> if and only if every <math>G \in \mathcal{G}</math> is <math>F</math>-bounded;
that is, if and only if for every <math>G \in \mathcal{G}</math> and every <math>f \in F,</math>
}}
==== Nets and uniform convergence ====
:'''Definition''':{{sfn|Jarchow|1981|pp=43-55}} Let <math>f \in F</math> and let
{{Math theorem|name=Theorem{{sfn|Jarchow|1981|pp=43-55}}|math_statement=
If <math>f \in F</math> and if
}}
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;Local convexity
If <math>Y</math> is [[locally convex]] then so is the <math>\mathcal{G}</math>-topology on <math>F</math> and if
<math display="block">p_{G,i}(f) := \sup_{x \in G} p_i(f(x)),</math>
as <math>G</math> varies over <math>\mathcal{G}</math> and
;Hausdorffness
If <math>Y</math> is [[Hausdorff space|Hausdorff]] and
Suppose that <math>T</math> is a topological space.
If <math>Y</math> is [[Hausdorff space|Hausdorff]] and <math>F</math> is the vector subspace of <math>Y^T</math> consisting of all continuous maps that are bounded on every <math>G \in \mathcal{G}</math> and if
;Boundedness
A subset <math>H</math> of <math>F</math> is [[Bounded set (topological vector space)|bounded]] in the <math>\mathcal{G}</math>-topology if and only if for every <math>G \in \mathcal{G},</math>
=== Examples of 𝒢-topologies ===
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The topology of pointwise convergence on <math>F</math> is identical to the subspace topology that <math>F</math> inherits from <math>Y^T</math> when <math>Y^T</math> is endowed with the usual [[product topology]].
If <math>X</math> is a non-trivial [[Completely regular space|completely regular]] Hausdorff topological space and
== 𝒢-topologies on spaces of continuous linear maps ==
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<math>\mathcal{G}</math> will be a non-empty collection of subsets of <math>X</math> [[Directed set|directed]] by inclusion.
:'''Notation''': <math>L(X; Y)</math> will denote the vector space of all continuous linear maps from <math>X</math> into <math>Y.</math> If <math>L(X; Y)</math> is given the <math>\mathcal{G}</math>-topology inherited from
:'''Notation''': The [[Dual space#Continuous dual space|continuous dual space]] of a topological vector space <math>X</math> over the field <math>\mathbb{F}</math> (which we will assume to be [[real numbers|real]] or [[complex numbers]]) is the vector space <math>L(X; \mathbb{F})</math> and is denoted by
The <math>\mathcal{G}</math>-topology on <math>L(X; Y)</math> is compatible with the vector space structure of <math>L(X; Y)</math> if and only if for all <math>G \in \mathcal{G}</math> and all
Note in particular that this is the case if <math>\mathcal{G}</math> consists of [[Bounded set (topological vector space)|(von-Neumann) bounded]] subsets of <math>X.</math>
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;Assumptions that guarantee a vector topology
:'''Assumption''' (<math>\mathcal{G}</math> is directed): <math>\mathcal{G}</math> will be a non-empty collection of subsets of <math>X</math> [[Directed set|directed]] by (subset) inclusion. That is, for any <math>G, H \in \mathcal{G},</math> there exists <math>K \in \mathcal{G}</math> such that
The above assumption guarantees that the collection of sets <math>\mathcal{U}(G, N)</math> forms a [[filter base]].
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Every TVS has a neighborhood basis at 0 consisting of balanced sets so this assumption isn't burdonsome.
:'''Assumption''' (<math>N \in \mathcal{N}</math> are balanced):
The following assumption is very commonly made because it will guarantee that each set <math>\mathcal{U}(G, N)</math> is absorbing in <math>L(X; Y).</math>
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Some authors (e.g. Trèves) require that <math>\mathcal{G}</math> be directed under subset inclusion and that it satisfy the following condition:
:If <math>G \in \mathcal{G}</math> and
If <math>\mathcal{G}</math> is a [[bornology]] on <math>X,</math> which is often the case, then these axioms are satisfied.
If <math>\mathcal{G}</math> is a [[saturated family]] of [[Bounded set (topological vector space)|bounded]] subsets of <math>X</math> then these axioms are also satisfied.
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;Hausdorffness
:'''Definition''':{{sfn|Schaefer|Wolff|1999|p=80}} If <math>T</math> is a TVS then we say that <math>\mathcal{G}</math> is '''total in <math>T</math>''' if the [[linear span]] of
If <math>F</math> is the vector subspace of <math>Y^T</math> consisting of all continuous linear maps that are bounded on every <math>G \in \mathcal{G},</math> then the <math>\mathcal{G}</math>-topology on <math>F</math> is Hausdorff if <math>Y</math> is Hausdorff and <math>\mathcal{G}</math> is total in <math>T.</math>{{sfn|Narici|Beckenstein|2011|pp=371-423}}
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;Completeness
For the following theorems, suppose that <math>X</math> is a topological vector space and <math>Y</math> is a [[locally convex]] Hausdorff spaces and <math>\mathcal{G}</math> is a collection of bounded subsets of <math>X</math> that covers <math>X,</math> is directed by subset inclusion, and satisfies the following condition: if <math>G \in \mathcal{G}</math> and
<ul>
<li>
{{ordered list|
|<math>X</math> is locally convex and Hausdorff,
|<math>Y</math> is complete, and
|whenever
}}</li>
<li>If <math>X</math> is a Mackey space then
<li>If <math>X</math> is [[Barrelled space|barrelled]] then
<li>Let <math>X</math> and <math>Y</math> be TVSs with <math>Y</math> [[quasi-complete]] and assume that (1) <math>X</math> is [[barreled space|barreled]], or else (2) <math>X</math> is a [[Baire space]] and <math>X</math> and <math>Y</math> are locally convex. If <math>\mathcal{G}</math> covers <math>X</math> then every closed equicontinuous subset of <math>L(X; Y)</math> is complete in
<li>Let <math>X</math> be a [[bornological space]], <math>Y</math> a locally convex space, and <math>\mathcal{G}</math> a family of bounded subsets of <math>X</math> such that the range of every null sequence in <math>X</math> is contained in some <math>G \in \mathcal{G}.</math> If <math>Y</math> is [[quasi-complete]] (resp. complete) then so is
</ul>
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Then the following are equivalent:{{sfn|Schaefer|Wolff|1999|p=81}}
<ol>
<li><math>H</math> is [[Bounded set (topological vector space)|bounded]] in
<li>For every <math>G \in \mathcal{G},</math>
<li>For every neighborhood
</ol>
Furthermore,
<ul>
<li>If <math>X</math> and <math>Y</math> are locally convex Hausdorff space and if <math>H</math> is bounded in
<li>If <math>X</math> and <math>Y</math> are locally convex Hausdorff spaces and if <math>X</math> is quasi-complete (i.e. closed and bounded subsets are complete), then the bounded subsets of <math>L(X; Y)</math> are identical for all <math>\mathcal{G}</math>-topologies where <math>\mathcal{G}</math> is any family of bounded subsets of <math>X</math> covering <math>X.</math>{{sfn|Schaefer|Wolff|1999|p=82}}</li>
<li>If <math>\mathcal{G}</math> is any collection of bounded subsets of <math>X</math> whose union is total in <math>X</math> then every equicontinuous subset of <math>L(X; Y)</math> is bounded in the <math>\mathcal{G}</math>-topology.{{sfn|Schaefer|Wolff|1999|p=83}}</li>
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{| class="wikitable"
|-
! <math>\mathcal{
! Notation
! Name ("topology of...")
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|-
| finite subsets of <math>X</math>
|
| pointwise/simple convergence
| topology of simple convergence
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|-
| compact convex subsets of <math>X</math>
|
| compact convex convergence
|
|-
| compact subsets of <math>X</math>
|
| compact convergence
|
|-
| bounded subsets of <math>X</math>
|
| bounded convergence
| strong topology
|}
==== The topology of pointwise convergence
By letting <math>\mathcal{G}</math> be the set of all finite subsets of <math>X,</math> <math>L(X; Y)</math> will have the '''weak topology on <math>L(X; Y)</math>''' or '''the topology of pointwise convergence''' or '''the topology of simple convergence''' and <math>L(X; Y)</math> with this topology is denoted by
Unfortunately, this topology is also sometimes called '''the strong operator topology''', which may lead to ambiguity;{{sfn|Narici|Beckenstein|2011|pp=371-423}} for this reason, this article will avoid referring to this topology by this name.
:'''Definition''': A subset of <math>L(X; Y)</math> is called '''simply bounded''' or '''weakly bounded''' if it is bounded in
The weak-topology on <math>L(X; Y)</math> has the following properties:
<ul>
<li>If <math>X</math> is [[Separable space|separable]] (i.e. has a countable dense subset) and if <math>Y</math> is a metrizable topological vector space then every equicontinuous subset <math>H</math> of
* So in particular, on every equicontinuous subset of <math>L(X; Y),</math> the topology of pointwise convergence is metrizable.</li>
<li>Let
* In addition, <math>L(X; Y)</math> is dense in the space of all linear maps (continuous or not) <math>X</math> into <math>Y.</math></li>
<li>Suppose <math>X</math> and <math>Y</math> are locally convex. Any simply bounded subset of <math>L(X; Y)</math> is bounded when <math>L(X; Y)</math> has the topology of uniform convergence on convex, [[balanced set|balanced]], bounded, complete subsets of <math>X.</math> If in addition <math>X</math> is [[quasi-complete]] then the families of bounded subsets of <math>L(X; Y)</math> are identical for all <math>\mathcal{G}</math>-topologies on <math>L(X; Y)</math> such that <math>\mathcal{G}</math> is a family of bounded sets covering <math>X.</math>{{sfn|Schaefer|Wolff|1999|p=82}}</li>
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</ul>
==== Compact convergence
By letting <math>\mathcal{G}</math> be the set of all compact subsets of <math>X,</math> <math>L(X; Y)</math> will have '''the topology of compact convergence''' or '''the topology of uniform convergence on compact sets''' and <math>L(X; Y)</math> with this topology is denoted by
The topology of compact convergence on <math>L(X; Y)</math> has the following properties:
<ul>
<li>If <math>X</math> is a [[Fréchet space]] or a [[LF-space]] and if <math>Y</math> is a [[Complete metric space#Topologically complete spaces|complete]] locally convex Hausdorff space then
<li>On equicontinuous subsets of <math>L(X; Y),</math> the following topologies coincide:
* The topology of pointwise convergence on a dense subset of <math>X,</math>
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* The topology of compact convergence.
* The topology of precompact convergence.</li>
<li>If <math>X</math> is a [[Montel space]] and <math>Y</math> is a topological vector space, then
</ul>
==== Topology of bounded convergence
By letting <math>\mathcal{G}</math> be the set of all bounded subsets of <math>X,</math> <math>L(X; Y)</math> will have '''the topology of bounded convergence on <math>X</math>''' or '''the topology of uniform convergence on bounded sets''' and <math>L(X; Y)</math> with this topology is denoted by
The topology of bounded convergence on <math>L(X; Y)</math> has the following properties:
<ul>
<li>If <math>X</math> is a [[bornological space]] and if <math>Y</math> is a [[Complete metric space#Topologically complete spaces|complete]] locally convex Hausdorff space then
<li>If <math>X</math> and <math>Y</math> are both normed spaces then the topology on <math>L(X; Y)</math> induced by the usual operator norm is identical to the topology on
* In particular, if <math>X</math> is a normed space then the usual norm topology on the continuous dual space
<li>Every equicontinuous subset of <math>L(X; Y)</math> is bounded in
</ul>
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=== <math>\mathcal{G}</math>-topologies versus polar topologies ===
If <math>X</math> is a TVS whose [[Bounded set (topological vector space)|bounded]] subsets are exactly the same as its
Consequently, in this case the results mentioned in this article can be applied to polar topologies.
However, if <math>X</math> is a TVS whose bounded subsets are
One important difference is that polar topologies are always locally convex while <math>\mathcal{G}</math>-topologies need not be.
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Suppose that <math>X</math> is a TVS whose bounded subsets are the same as its weakly bounded subsets.
:'''Notation''': If
{| class="wikitable"
|-
! ><math>\mathcal{
! Notation
! Name ("topology of...")
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|-
| finite subsets of <math>X</math>
|
| pointwise/simple convergence
| [[Weak topology|weak/weak* topology]]
|-
|
|
|
| [[Mackey topology]]
|-
|
|
| compact convex convergence
|
|-
|
|
| compact convergence
|
|-
|
|
| bounded convergence
| [[Strong dual space|strong topology]]
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== 𝒢-ℋ-topologies on spaces of bilinear maps ==
We will let
In an analogous way to how we placed a topology on <math>L(X; Y)</math> we can place a topology on <math>\mathcal{
Let <math>\mathcal{G}</math> (resp. <math>\mathcal{H}</math>) be a family of subsets of <math>X</math> (resp. <math>Y</math>) containing at least one non-empty set.
Let <math>\mathcal{G} \times \mathcal{H}</math> denote the collection of all sets <math>G \times H</math> where <math>G \in \mathcal{G},</math> <math>H \in \mathcal{H}.</math>
We can place on
This topology is known as the '''<math>\mathcal{G}-\mathcal{H}</math>-topology''' or as the '''topology of uniform convergence on the products <math>G \times H</math> of <math>\mathcal{G} \times \mathcal{H}</math>'''.
However, as before, this topology is not necessarily compatible with the vector space structure of
If both <math>\mathcal{G}</math> and <math>\mathcal{H}</math> consist of bounded sets then this requirement is automatically satisfied if we are topologizing
The <math>\mathcal{G}-\mathcal{H}</math>-topology on
* <math>X</math> and <math>Y</math> are barrelled spaces and <math>Z</math> is locally convex.
* <math>X</math> is a [[F-space]], <math>Y</math> is metrizable, and <math>Z</math> is Hausdorff, in which case <math>\mathcal{
* <math>X, Y,</math> and <math>Z</math> are the strong duals of reflexive Fréchet spaces.
* <math>X</math> is normed and <math>Y</math> and <math>Z</math> the strong duals of reflexive Fréchet spaces.
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{{Main|Injective tensor product}}
Suppose that <math>X, Y,</math> and <math>Z</math> are locally convex spaces and let
Then the
This topology is called the ε-topology and <math>\mathcal{B}\left(X^{\prime}_{b\left(X^{\prime}, X\right)}, Y_{b\left(X^{\prime}, X\right)}; Z\right)</math> with this topology it is denoted by <math>\mathcal{B}_{\epsilon}\left(X^{\prime}_{b\left(X^{\prime}, X\right)}, Y^{\prime}_{b\left(X^{\prime}, X\right)}; Z\right)</math> or simply by <math>\mathcal{B}_{\epsilon}\left(X^{\prime}_{b}, Y^{\prime}_{b}; Z\right).</math>
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These spaces have the following properties:
* If <math>X</math> and <math>Y</math> are locally convex Hausdorff spaces then <math>\mathcal{B}_{\varepsilon}\left(X^{\prime}_{\sigma}, Y^{\prime}_{\sigma}\right)</math> is complete if and only if both <math>X</math> and <math>Y</math> are complete.
* If <math>X</math> and <math>Y</math> are both normed (
== See also ==
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== References ==
{{reflist|group=note}}
==Bibliography==▼
{{reflist|group=proof}}
{{reflist}}
▲== Bibliography ==
* {{Jarchow Locally Convex Spaces}}
* {{Khaleelulla Counterexamples in Topological Vector Spaces}} <!-- {{sfn|Khaleelulla|{{{year| 1982 }}}|p=}} -->
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